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read_csv returns empty data.frame for remote gzipped csv files #1555

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adokter opened this issue Sep 13, 2024 · 3 comments
Open

read_csv returns empty data.frame for remote gzipped csv files #1555

adokter opened this issue Sep 13, 2024 · 3 comments

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@adokter
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adokter commented Sep 13, 2024 •
edited
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read_csv() fails to return data when a file is a remote gzipped csv file (downloading the file and reading in locally does work), example below:

remote_file <- "https://aloftdata.s3-eu-west-1.amazonaws.com/baltrad/monthly/bejab/2023/bejab_vpts_202303.csv.gz"
readr::read_csv(remote_file)

Incorrectly returns an empty data.frame:

Rows: 0 Columns: 26                                                                                
── Column specification ─────────────────────────────────────────────────────────────────────────────
Delimiter: ","
chr (26): radar, datetime, height, u, v, w, ff, dd, sd_vvp, gap, eta, dens, dbz, dbz_all, n, n_db...

Downloading the file locally and then reading it in does correctly read the data:

local_file <- paste0(tempdir(), "/",  basename(remote_file))
download.file(remote_file, local_file)
readr::read_csv(local_file)

returns the correct data as expected:

Rows: 162400 Columns: 26                                                                           
── Column specification ─────────────────────────────────────────────────────────────────────────────
Delimiter: ","
chr   (2): radar, source_file
dbl  (21): height, u, v, w, ff, dd, sd_vvp, eta, dens, dbz, dbz_all, n, n_dbz, n_all, n_dbz_all, ...
lgl   (2): gap, vcp
dttm  (1): datetime
This was referenced Sep 16, 2024
Merged
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@peterdesmet
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This behaviour is not new to readr 2.1.5. It also doesn't occur for all remote csv.gz, so it might be related to AWS. I wonder if there is an server setting that blocks reading and unpacking csv.gz? Also odd that no error is returned.

library(readr)
packageVersion("readr")
#> [1] '2.1.0'
aws_csv_gz <- "https://aloftdata.s3-eu-west-1.amazonaws.com/baltrad/monthly/bejab/2023/bejab_vpts_202303.csv.gz"
readr::read_csv(aws_csv_gz)
#> Rows: 0 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (26): radar, datetime, height, u, v, w, ff, dd, sd_vvp, gap, eta, dens, ...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 0 × 26
#> # ℹ 26 variables: radar <chr>, datetime <chr>, height <chr>, u <chr>, v <chr>,
#> #   w <chr>, ff <chr>, dd <chr>, sd_vvp <chr>, gap <chr>, eta <chr>,
#> #   dens <chr>, dbz <chr>, dbz_all <chr>, n <chr>, n_dbz <chr>, n_all <chr>,
#> #   n_dbz_all <chr>, rcs <chr>, sd_vvp_threshold <chr>, vcp <chr>,
#> #   radar_latitude <chr>, radar_longitude <chr>, radar_height <chr>,
#> #   radar_wavelength <chr>, source_file <chr>

zenodo_aws_csv_gz <- "https://zenodo.org/records/5653311/files/O_ASSEN-gps-2018.csv.gz"
readr::read_csv(zenodo_aws_csv_gz)
#> Rows: 14893 Columns: 22
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr   (3): sensor-type, individual-taxon-canonical-name, study-name
#> dbl  (14): event-id, location-long, location-lat, external-temperature, gps:...
#> lgl   (4): visible, bar:barometric-pressure, import-marked-outlier, manually...
#> dttm  (1): timestamp
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 14,893 × 22
#>     `event-id` visible timestamp           `location-long` `location-lat`
#>          <dbl> <lgl>   <dttm>                        <dbl>          <dbl>
#>  1 20432407608 TRUE    2018-05-09 14:59:05            6.58           53.0
#>  2 20432407611 TRUE    2018-05-09 15:28:58            6.58           53.0
#>  3 20432407614 TRUE    2018-05-09 15:58:50            6.58           53.0
#>  4 20432407617 TRUE    2018-05-09 16:29:54            6.58           53.0
#>  5 20432407620 TRUE    2018-05-09 16:59:53            6.58           53.0
#>  6 20432407623 TRUE    2018-05-09 17:30:07            6.58           53.0
#>  7 20432407626 TRUE    2018-05-09 17:59:52            6.58           53.0
#>  8 20432407631 TRUE    2018-05-09 18:59:50            6.58           53.0
#>  9 20432407634 TRUE    2018-05-09 19:29:47            6.58           53.0
#> 10 20432407637 TRUE    2018-05-09 20:00:06            6.59           53.0
#> # ℹ 14,883 more rows
#> # ℹ 17 more variables: `bar:barometric-pressure` <lgl>,
#> #   `external-temperature` <dbl>, `gps:dop` <dbl>, `gps:satellite-count` <dbl>,
#> #   `gps-time-to-fix` <dbl>, `ground-speed` <dbl>, heading <dbl>,
#> #   `height-above-msl` <dbl>, `import-marked-outlier` <lgl>,
#> #   `location-error-numerical` <dbl>, `manually-marked-outlier` <lgl>,
#> #   `vertical-error-numerical` <dbl>, `sensor-type` <chr>, …

Created on 2024-09-17 with reprex v2.1.0

@PietrH
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PietrH commented Sep 17, 2024

I can replicate in 2.1.5.9000, also in vroom 1.6.5:

remote_file <- 
  "https://aloftdata.s3-eu-west-1.amazonaws.com/baltrad/monthly/bejab/2023/bejab_vpts_202303.csv.gz"
vroom::vroom(remote_file)
#> Rows: 0 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (26): radar, datetime, height, u, v, w, ff, dd, sd_vvp, gap, eta, dens, ...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 0 × 26
#> # ℹ 26 variables: radar <chr>, datetime <chr>, height <chr>, u <chr>, v <chr>,
#> #   w <chr>, ff <chr>, dd <chr>, sd_vvp <chr>, gap <chr>, eta <chr>,
#> #   dens <chr>, dbz <chr>, dbz_all <chr>, n <chr>, n_dbz <chr>, n_all <chr>,
#> #   n_dbz_all <chr>, rcs <chr>, sd_vvp_threshold <chr>, vcp <chr>,
#> #   radar_latitude <chr>, radar_longitude <chr>, radar_height <chr>,
#> #   radar_wavelength <chr>, source_file <chr>

Created on 2024-09-17 with reprex v2.1.0

However, the file reads just fine using httr2 or data.table

remote_file <- 
  "https://aloftdata.s3-eu-west-1.amazonaws.com/baltrad/monthly/bejab/2023/bejab_vpts_202303.csv.gz"

read_remote_file<- function(remote_file) {
  raw_response <- 
    httr2::request(remote_file) |>
    httr2::req_perform() |> 
    httr2::resp_body_raw()
  
  temp_path <- tempfile()
  writeBin(raw_response, temp_path)
  readr::read_csv(temp_path)
}

read_remote_file(remote_file)
#> Rows: 162400 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr   (2): radar, source_file
#> dbl  (21): height, u, v, w, ff, dd, sd_vvp, eta, dens, dbz, dbz_all, n, n_db...
#> lgl   (2): gap, vcp
#> dttm  (1): datetime
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 162,400 × 26
#>    radar datetime            height      u        v      w     ff    dd sd_vvp
#>    <chr> <dttm>               <dbl>  <dbl>    <dbl>  <dbl>  <dbl> <dbl>  <dbl>
#>  1 bejab 2023-03-03 22:00:00      0 NaN    NaN      NaN    NaN    NaN     4.77
#>  2 bejab 2023-03-03 22:00:00      0 NaN    NaN      NaN    NaN    NaN     4.59
#>  3 bejab 2023-03-03 22:00:00      0 NaN    NaN      NaN    NaN    NaN     4.83
#>  4 bejab 2023-03-03 22:00:00    200   2.46  -3.27    49.6    4.09 143.    4.63
#>  5 bejab 2023-03-03 22:00:00    200   5.08  -0.0754  16.7    5.08  90.9   4.91
#>  6 bejab 2023-03-03 22:00:00    200   1.80   0.815   28.9    1.97  65.6   4.56
#>  7 bejab 2023-03-03 22:00:00    400   1.57   0.738    5.90   1.74  64.9   3.42
#>  8 bejab 2023-03-03 22:00:00    400   1.02  -0.360   -4.19   1.08 110.    3.06
#>  9 bejab 2023-03-03 22:00:00    400   1.31   0.704    1.47   1.48  61.7   3.70
#> 10 bejab 2023-03-03 22:00:00    600   1.74  -0.335    1.48   1.77 101.    2.14
#> # ℹ 162,390 more rows
#> # ℹ 17 more variables: gap <lgl>, eta <dbl>, dens <dbl>, dbz <dbl>,
#> #   dbz_all <dbl>, n <dbl>, n_dbz <dbl>, n_all <dbl>, n_dbz_all <dbl>,
#> #   rcs <dbl>, sd_vvp_threshold <dbl>, vcp <lgl>, radar_latitude <dbl>,
#> #   radar_longitude <dbl>, radar_height <dbl>, radar_wavelength <dbl>,
#> #   source_file <chr>
data.table::fread(remote_file)
#>          radar            datetime height        u          v        w       ff
#>         <char>              <POSc>  <int>    <num>      <num>    <num>    <num>
#>      1:  bejab 2023-03-03 22:00:00      0      NaN        NaN      NaN      NaN
#>      2:  bejab 2023-03-03 22:00:00      0      NaN        NaN      NaN      NaN
#>      3:  bejab 2023-03-03 22:00:00      0      NaN        NaN      NaN      NaN
#>      4:  bejab 2023-03-03 22:00:00    200 2.455805 -3.2683022 49.64532 4.088126
#>      5:  bejab 2023-03-03 22:00:00    200 5.075827 -0.0754339 16.73815 5.076387
#>     ---                                                                        
#> 162396:  bejab 2023-03-31 23:45:00   4600      NaN        NaN      NaN      NaN
#> 162397:  bejab 2023-03-31 23:45:00   4600      NaN        NaN      NaN      NaN
#> 162398:  bejab 2023-03-31 23:45:00   4800      NaN        NaN      NaN      NaN
#> 162399:  bejab 2023-03-31 23:45:00   4800      NaN        NaN      NaN      NaN
#> 162400:  bejab 2023-03-31 23:45:00   4800      NaN        NaN      NaN      NaN
#>                dd    sd_vvp    gap        eta       dens        dbz   dbz_all
#>             <num>     <num> <lgcl>      <num>      <num>      <num>     <num>
#>      1:       NaN 4.7692399   TRUE 107.288979  9.7535439  -5.262448 27.517876
#>      2:       NaN 4.5863905   TRUE 124.144234 11.2858391  -4.628733 24.785967
#>      3:       NaN 4.8284831   TRUE 155.976990 14.1797266  -3.637393 26.132660
#>      4: 143.07877 4.6271343  FALSE  61.823353  5.6203046  -7.656473 25.266855
#>      5:  90.85143 4.9096479  FALSE  53.051174  4.8228340  -8.321049 20.831184
#>     ---                                                                      
#> 162396:       NaN       NaN   TRUE   4.426118  0.4023744 -19.107769 -3.006126
#> 162397:       NaN       NaN   TRUE  10.359014  0.9417285 -15.414815 -3.090068
#> 162398:       NaN 0.6628532   TRUE  16.421793  0.0000000 -13.413793 -3.526877
#> 162399:       NaN 0.6688918   TRUE   7.906731  0.0000000 -16.588030 -3.623610
#> 162400:       NaN 0.5773958   TRUE  11.081260  0.0000000 -15.122108 -4.020990
#>             n n_dbz n_all n_dbz_all   rcs sd_vvp_threshold    vcp
#>         <int> <int> <int>     <int> <num>            <num> <lgcl>
#>      1:    33  2207   178      8857    11                2     NA
#>      2:    44  2242   159      8854    11                2     NA
#>      3:    87  2484   177      8835    11                2     NA
#>      4:   224 18810   397     22903    11                2     NA
#>      5:   201 18990   398     22875    11                2     NA
#>     ---                                                          
#> 162396:    33   648   689      1436    11                2     NA
#> 162397:    74   727   670      1435    11                2     NA
#> 162398:   178  1019  1174      2160    11                2     NA
#> 162399:    90  1037  1028      2159    11                2     NA
#> 162400:   138  1069  1047      2157    11                2     NA
#>         radar_latitude radar_longitude radar_height radar_wavelength
#>                  <num>           <num>        <int>            <num>
#>      1:        51.1917          3.0642           50              5.3
#>      2:        51.1917          3.0642           50              5.3
#>      3:        51.1917          3.0642           50              5.3
#>      4:        51.1917          3.0642           50              5.3
#>      5:        51.1917          3.0642           50              5.3
#>     ---                                                             
#> 162396:        51.1917          3.0642           50              5.3
#> 162397:        51.1917          3.0642           50              5.3
#> 162398:        51.1917          3.0642           50              5.3
#> 162399:        51.1917          3.0642           50              5.3
#> 162400:        51.1917          3.0642           50              5.3
#>                              source_file
#>                                   <char>
#>      1: bejab_vp_20230303T220000Z_0x9.h5
#>      2: bejab_vp_20230303T220500Z_0x9.h5
#>      3: bejab_vp_20230303T221000Z_0x9.h5
#>      4: bejab_vp_20230303T220000Z_0x9.h5
#>      5: bejab_vp_20230303T220500Z_0x9.h5
#>     ---                                 
#> 162396: bejab_vp_20230331T235000Z_0x9.h5
#> 162397: bejab_vp_20230331T235500Z_0x9.h5
#> 162398: bejab_vp_20230331T234500Z_0x9.h5
#> 162399: bejab_vp_20230331T235000Z_0x9.h5
#> 162400: bejab_vp_20230331T235500Z_0x9.h5

Created on 2024-09-17 with reprex v2.1.0

@bart1
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bart1 commented Oct 15, 2024

@PietrH I just did some experimentation. I think it would not relate to AWS as a server. I started a local server with serve and can replicate the problem. However if I re compress the file the problems disappear. Do you know what the compression settings were?

require(vroom)
#> Loading required package: vroom
download.file("https://aloftdata.s3-eu-west-1.amazonaws.com/uva/monthly/bezav/2017/bezav_vpts_201708.csv.gz",'~/bezav_vpts_201708.csv.gz')
system("gunzip -k ~/bezav_vpts_201708.csv.gz")
system("gzip -kc ~/bezav_vpts_201708.csv > ~/bezav_vpts_201708.csv.recompress.gz")
# The original file reads fine from disk
vroom::vroom("~/bezav_vpts_201708.csv.gz")
#> Rows: 215175 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr   (2): radar, source_file
#> dbl  (21): height, u, v, w, ff, dd, sd_vvp, eta, dens, dbz, dbz_all, n, n_db...
#> lgl   (2): gap, vcp
#> dttm  (1): datetime
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 215,175 × 26
#>    radar datetime            height       u      v       w    ff    dd sd_vvp
#>    <chr> <dttm>               <dbl>   <dbl>  <dbl>   <dbl> <dbl> <dbl>  <dbl>
#>  1 bezav 2017-08-01 00:00:08      0  -2.39  -5.78   17.5    6.25  202.   2.92
#>  2 bezav 2017-08-01 00:00:08    200  -2.57  -7.29    2.20   7.73  199.   2.50
#>  3 bezav 2017-08-01 00:00:08    400  -4.33  -6.34    0.198  7.68  214.   2.57
#>  4 bezav 2017-08-01 00:00:08    600  -8.13  -4.22  -14.2    9.16  243.   3.99
#>  5 bezav 2017-08-01 00:00:08    800 -11.4    2.23    0.189 11.6   281.   4.53
#>  6 bezav 2017-08-01 00:00:08   1000   0.503 -7.48   16.4    7.50  176.   5.92
#>  7 bezav 2017-08-01 00:00:08   1200   0.172 -2.70   40.4    2.70  176.   4.75
#>  8 bezav 2017-08-01 00:00:08   1400  -8.36  -2.73   12.0    8.80  252.   6.25
#>  9 bezav 2017-08-01 00:00:08   1600  -9.63  -6.26    7.60  11.5   237.   5.66
#> 10 bezav 2017-08-01 00:00:08   1800  -1.01   0.244  36.3    1.03  284.   2.48
#> # ℹ 215,165 more rows
#> # ℹ 17 more variables: gap <lgl>, eta <dbl>, dens <dbl>, dbz <dbl>,
#> #   dbz_all <dbl>, n <dbl>, n_dbz <dbl>, n_all <dbl>, n_dbz_all <dbl>,
#> #   rcs <dbl>, sd_vvp_threshold <dbl>, vcp <lgl>, radar_latitude <dbl>,
#> #   radar_longitude <dbl>, radar_height <dbl>, radar_wavelength <dbl>,
#> #   source_file <chr>
# However if I read the file through a local server it fails
vroom::vroom("http://localhost:8080/bezav_vpts_201708.csv.gz")
#> Rows: 0 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (26): radar, datetime, height, u, v, w, ff, dd, sd_vvp, gap, eta, dens, ...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 0 × 26
#> # ℹ 26 variables: radar <chr>, datetime <chr>, height <chr>, u <chr>, v <chr>,
#> #   w <chr>, ff <chr>, dd <chr>, sd_vvp <chr>, gap <chr>, eta <chr>,
#> #   dens <chr>, dbz <chr>, dbz_all <chr>, n <chr>, n_dbz <chr>, n_all <chr>,
#> #   n_dbz_all <chr>, rcs <chr>, sd_vvp_threshold <chr>, vcp <chr>,
#> #   radar_latitude <chr>, radar_longitude <chr>, radar_height <chr>,
#> #   radar_wavelength <chr>, source_file <chr>
# The file compressed again seems to work fine again through the same local server
vroom::vroom("http://localhost:8080/bezav_vpts_201708.csv.recompress.gz")
#> Rows: 215175 Columns: 26
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr   (2): radar, source_file
#> dbl  (21): height, u, v, w, ff, dd, sd_vvp, eta, dens, dbz, dbz_all, n, n_db...
#> lgl   (2): gap, vcp
#> dttm  (1): datetime
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 215,175 × 26
#>    radar datetime            height       u      v       w    ff    dd sd_vvp
#>    <chr> <dttm>               <dbl>   <dbl>  <dbl>   <dbl> <dbl> <dbl>  <dbl>
#>  1 bezav 2017-08-01 00:00:08      0  -2.39  -5.78   17.5    6.25  202.   2.92
#>  2 bezav 2017-08-01 00:00:08    200  -2.57  -7.29    2.20   7.73  199.   2.50
#>  3 bezav 2017-08-01 00:00:08    400  -4.33  -6.34    0.198  7.68  214.   2.57
#>  4 bezav 2017-08-01 00:00:08    600  -8.13  -4.22  -14.2    9.16  243.   3.99
#>  5 bezav 2017-08-01 00:00:08    800 -11.4    2.23    0.189 11.6   281.   4.53
#>  6 bezav 2017-08-01 00:00:08   1000   0.503 -7.48   16.4    7.50  176.   5.92
#>  7 bezav 2017-08-01 00:00:08   1200   0.172 -2.70   40.4    2.70  176.   4.75
#>  8 bezav 2017-08-01 00:00:08   1400  -8.36  -2.73   12.0    8.80  252.   6.25
#>  9 bezav 2017-08-01 00:00:08   1600  -9.63  -6.26    7.60  11.5   237.   5.66
#> 10 bezav 2017-08-01 00:00:08   1800  -1.01   0.244  36.3    1.03  284.   2.48
#> # ℹ 215,165 more rows
#> # ℹ 17 more variables: gap <lgl>, eta <dbl>, dens <dbl>, dbz <dbl>,
#> #   dbz_all <dbl>, n <dbl>, n_dbz <dbl>, n_all <dbl>, n_dbz_all <dbl>,
#> #   rcs <dbl>, sd_vvp_threshold <dbl>, vcp <lgl>, radar_latitude <dbl>,
#> #   radar_longitude <dbl>, radar_height <dbl>, radar_wavelength <dbl>,
#> #   source_file <chr>
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.0 (2024-04-24)
#>  os       Ubuntu 22.04.4 LTS
#>  system   x86_64, linux-gnu
#>  ui       X11
#>  language (EN)
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       Europe/Amsterdam
#>  date     2024-10-15
#>  pandoc   3.1.11 @ /usr/lib/rstudio/resources/app/bin/quarto/bin/tools/x86_64/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date (UTC) lib source
#>  bit           4.5.0   2024-09-20 [1] CRAN (R 4.4.0)
#>  bit64         4.5.2   2024-09-22 [1] CRAN (R 4.4.0)
#>  cli           3.6.3   2024-06-21 [1] CRAN (R 4.4.0)
#>  crayon        1.5.3   2024-06-20 [1] CRAN (R 4.4.0)
#>  curl          5.2.3   2024-09-20 [1] CRAN (R 4.4.0)
#>  digest        0.6.35  2024-03-11 [1] CRAN (R 4.4.0)
#>  evaluate      0.23    2023-11-01 [1] CRAN (R 4.4.0)
#>  fansi         1.0.6   2023-12-08 [1] CRAN (R 4.4.0)
#>  fastmap       1.2.0   2024-05-15 [1] CRAN (R 4.4.0)
#>  fs            1.6.4   2024-04-25 [1] CRAN (R 4.4.0)
#>  glue          1.8.0   2024-09-30 [1] CRAN (R 4.4.0)
#>  htmltools     0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
#>  knitr         1.46    2024-04-06 [1] CRAN (R 4.4.0)
#>  lifecycle     1.0.4   2023-11-07 [1] CRAN (R 4.4.0)
#>  magrittr      2.0.3   2022-03-30 [1] CRAN (R 4.4.0)
#>  pillar        1.9.0   2023-03-22 [1] CRAN (R 4.4.0)
#>  pkgconfig     2.0.3   2019-09-22 [1] CRAN (R 4.4.0)
#>  purrr         1.0.2   2023-08-10 [1] CRAN (R 4.4.0)
#>  R.cache       0.16.0  2022-07-21 [1] CRAN (R 4.4.0)
#>  R.methodsS3   1.8.2   2022-06-13 [1] CRAN (R 4.4.0)
#>  R.oo          1.26.0  2024-01-24 [1] CRAN (R 4.4.0)
#>  R.utils       2.12.3  2023-11-18 [1] CRAN (R 4.4.0)
#>  reprex        2.1.0   2024-01-11 [1] CRAN (R 4.4.0)
#>  rlang         1.1.4   2024-06-04 [1] CRAN (R 4.4.0)
#>  rmarkdown     2.26    2024-03-05 [1] CRAN (R 4.4.0)
#>  rstudioapi    0.16.0  2024-03-24 [1] CRAN (R 4.4.0)
#>  sessioninfo   1.2.2   2021-12-06 [1] CRAN (R 4.4.0)
#>  styler        1.10.3  2024-04-07 [1] CRAN (R 4.4.0)
#>  tibble        3.2.1   2023-03-20 [1] CRAN (R 4.4.0)
#>  tidyselect    1.2.1   2024-03-11 [1] CRAN (R 4.4.0)
#>  tzdb          0.4.0   2023-05-12 [1] CRAN (R 4.4.0)
#>  utf8          1.2.4   2023-10-22 [1] CRAN (R 4.4.0)
#>  vctrs         0.6.5   2023-12-01 [1] CRAN (R 4.4.0)
#>  vroom       * 1.6.5   2023-12-05 [1] CRAN (R 4.4.0)
#>  withr         3.0.1   2024-07-31 [1] CRAN (R 4.4.0)
#>  xfun          0.43    2024-03-25 [1] CRAN (R 4.4.0)
#>  yaml          2.3.9   2024-07-05 [1] CRAN (R 4.4.0)
#> 
#>  [1] /home/bart/R/x86_64-pc-linux-gnu-library/4.4
#>  [2] /usr/local/lib/R/site-library
#>  [3] /usr/lib/R/site-library
#>  [4] /usr/lib/R/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────

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@peterdesmet @bart1 @adokter @PietrH